Triple
T26781681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AeroLogic |
E670264
|
entity |
| Predicate | fleetConsistsOf |
P163071
|
FINISHED |
| Object | Boeing 777F |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Boeing 777F | Statement: [AeroLogic, fleetConsistsOf, Boeing 777F]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fleetConsistsOf Context triple: [AeroLogic, fleetConsistsOf, Boeing 777F]
-
A.
navalFleet
Indicates a relationship where multiple naval vessels are organized and operate together as a coordinated maritime military force.
-
B.
navalForceComposition
Indicates the makeup and distribution of different types of naval units or vessels within a particular naval force.
-
C.
fleetOrClass
Indicates that something belongs to, is part of, or is categorized under a particular fleet or class.
-
D.
fleetName
Indicates the name assigned to a particular fleet within a system or context.
-
E.
fleetType
Indicates the category or classification of a fleet to which an entity belongs or with which it is associated.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69eeb31c925881909b597f6e40056d28 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f63639a84c81909d700a539b458b42 |
completed | May 2, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 4:09 a.m.